Questions tagged [networks]

Refers to network theory as part of the graph theory. For questions about neural networks, use our [neural-networks] tag.

Filter by
Sorted by
Tagged with
42
votes
8answers
21k views

How to do community detection in a weighted social network/graph?

I'm wondering if someone could suggest what are good starting points when it comes to performing community detection/graph partitioning/clustering on a graph that has weighted, undirected edges. The ...
10
votes
2answers
4k views

How to test statistically whether my network (graph) is a “small-world” network or not?

A small-world network is a type of mathematical graph in which most nodes are not neighbors of one another, but most nodes can be reached from every other by a small number of hops or steps. ...
8
votes
4answers
2k views

Graph clustering algorithms which consider negative weights

I have a graph instance with weighted directed edges which values can be in range [-1,1]. I need to do clustering on this graph, in order to find out groups in which vertices are more correlated. I ...
3
votes
1answer
639 views

Interaction effects in network meta-analysis (multiple treatment comparison) in R?

I would like to use network meta-analysis (or multiple treatment comparison) to investigate the main-effect and interaction of two factors on a continuous outcome variable. As an example the effect of ...
6
votes
1answer
4k views

Prediction with Bayesian networks in R

I've been trying to teach myself about Network Analysis, and I've been able to develop DAG charts in R. However, I've looked through three or four R packages and have seen little in the way to a ...
7
votes
2answers
3k views

Centralization measures in weighted graphs

I'm using the igraph package in R to analyze network data. I'm currently trying to calculate some centrality measures for the ...
4
votes
1answer
533 views

Clustering network usign modularity maximization algorithm

I have been working on a Network-based clustering approach. I used "cluster_optimal" of 'igraph' package in R for clustering. The function works by modularity maximization algorithm. I have ...
2
votes
1answer
227 views

Computation of Network Homophily / Heterogeneity

I am quite confused about the calculation of network homophily in network analysis. Right now I am computing the homophily using the following function, which has been written and also described by ...
1
vote
0answers
391 views

Multivariate meta-analysis in R: how to investigate network of variables [closed]

I would like to conduct a meta-analysis to investigate the interaction of three variables:hair color (dark/light), gender (male/female) and size (continuous). I have three studies reporting effect ...
6
votes
1answer
3k views

Interpreting output of igraph's fastgreedy.community clustering method

With the help of several people in this community I have been wetting my feet in clustering some social network data using igraph's implementation of modularity-based clustering. I am having some ...
2
votes
1answer
588 views

How to generate random networks for comparison with my network?

I have a network of 361 nodes and 695 edges. I want to prove that my network is statistically significantly different from a random network. Small-world connectivity is a key parameter that has been ...